AI Medical Compendium Journal:
Surgical innovation

Showing 1 to 10 of 32 articles

The Role of AI in Modern Hernia Surgery: A Review and Practical Insights.

Surgical innovation
BackgroundArtificial intelligence (AI) is revolutionizing various aspects of health care, particularly in the surgical field, where it offers significant potential for improving surgical risk assessment, predictive analytics, and research advancement...

Automated Bone Cancer Detection Using Deep Learning on X-Ray Images.

Surgical innovation
In recent days, bone cancer is a life-threatening health issue that can lead to death. However, physicians use CT-scan, X-rays, or MRI images to recognize bone cancer, but still require techniques to increase precision and reduce human labor. These m...

AI in Surgery: Navigating Trends and Managerial Implications Through Bibliometric and Text Mining Odyssey.

Surgical innovation
This research employs bibliometric and text-mining analysis to explore artificial intelligence (AI) advancements within surgical procedures. The growing significance of AI in healthcare underscores the need for healthcare managers to prioritize inves...

Advancing Emergency Department Triage Prediction With Machine Learning to Optimize Triage for Abdominal Pain Surgery Patients.

Surgical innovation
BACKGROUND: The development of emergency department (ED) triage systems remains challenging in accurately differentiating patients with acute abdominal pain (AAP) who are critical and urgent for surgery due to subjectivity and limitations. We use mac...

Variability of Guidelines and Disclosures for AI-Generated Content in Top Surgical Journals.

Surgical innovation
: When properly utilized, artificial intelligence generated content (AIGC) may improve virtually every aspect of research, from data gathering to synthesis. Nevertheless, when used inappropriately, the use of AIGC may lead to the dissemination of ina...

The Role of Artificial Intelligence in Medical Education: A Systematic Review.

Surgical innovation
BACKGROUND: To examine the artificial intelligence (AI) tools currently being studied in modern medical education, and critically evaluate the level of validation and the quality of evidence presented in each individual study.

Tumor Segmentation in Intraoperative Fluorescence Images Based on Transfer Learning and Convolutional Neural Networks.

Surgical innovation
OBJECTIVE: To propose a transfer learning based method of tumor segmentation in intraoperative fluorescence images, which will assist surgeons to efficiently and accurately identify the boundary of tumors of interest.

Transcatheter Aortic Valve Replacement and Coronary Protection Guided by Deep Learning and 3-Dimensional Printing.

Surgical innovation
OBJECTIVE: In this case report, the auxiliary role of deep learning and 3-dimensional printing technology in the perioperative period was discussed to guide transcatheter aortic valve replacement and coronary stent implantation simultaneously.

Metaverse and Telementoring: From Surgery to Workshop.

Surgical innovation
BACKGROUND: The Coronavirus 2019 (COVID-19) pandemic has favored the growth of telemedicine systems and in this context the idea of Metaverse was born and developed. A 3D reality in which people can interact with each other through digital reproducti...

Robotic Microsurgery in Extremity Reconstruction - Experience With a Novel Robotic System.

Surgical innovation
Robotic systems have successfully been introduced into other surgical fields in the past. First attempts with different setups are made in the field of microsurgery. The Symani® Surgical System, a flexible platform consisting of two robotic arms, fe...